package com.yueqianshop.search.service.impl;

import com.alibaba.fastjson.JSON;
import com.alibaba.fastjson.TypeReference;
import com.yueqianshop.common.to.SkuEsModel;
import com.yueqianshop.common.utils.R;
import com.yueqianshop.search.YueShopElasticSearchConfig;
import com.yueqianshop.search.constant.EsConstant;
import com.yueqianshop.search.feign.ProductFeignService;
import com.yueqianshop.search.service.MallSearchService;
import com.yueqianshop.search.vo.AttrResponseVo;
import com.yueqianshop.search.vo.SearchParam;
import com.yueqianshop.search.vo.SearchResult;
import org.apache.commons.lang.StringUtils;
import org.apache.lucene.search.join.ScoreMode;
import org.elasticsearch.action.search.SearchRequest;
import org.elasticsearch.action.search.SearchResponse;
import org.elasticsearch.client.RestHighLevelClient;
import org.elasticsearch.index.query.*;
import org.elasticsearch.search.SearchHit;
import org.elasticsearch.search.SearchHits;
import org.elasticsearch.search.aggregations.AggregationBuilders;
import org.elasticsearch.search.aggregations.bucket.nested.NestedAggregationBuilder;
import org.elasticsearch.search.aggregations.bucket.nested.ParsedNested;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedLongTerms;
import org.elasticsearch.search.aggregations.bucket.terms.ParsedStringTerms;
import org.elasticsearch.search.aggregations.bucket.terms.Terms;
import org.elasticsearch.search.aggregations.bucket.terms.TermsAggregationBuilder;
import org.elasticsearch.search.builder.SearchSourceBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightBuilder;
import org.elasticsearch.search.fetch.subphase.highlight.HighlightField;
import org.elasticsearch.search.sort.SortOrder;
import org.springframework.beans.factory.annotation.Autowired;
import org.springframework.stereotype.Service;

import java.io.IOException;
import java.io.UnsupportedEncodingException;
import java.net.URLEncoder;
import java.util.ArrayList;
import java.util.List;
import java.util.stream.Collectors;

@Service
public class MallSearchServiceImpl implements MallSearchService {


    @Autowired
    RestHighLevelClient client;

    @Autowired
    ProductFeignService productFeignService;
    @Override
    public SearchResult search(SearchParam param) {

        SearchResult result = null;
        //准备检索请求
        SearchRequest searchRequest = buildSearchRequrest(param);


        try {
            //执行检索请求
            SearchResponse response = client.search(searchRequest, YueShopElasticSearchConfig.COMMON_OPTIONS);
            //分析响应数据封装成我们需要的格式
            result = buildSearchResult(response,param);
        } catch (IOException e) {
            e.printStackTrace();
        }
        return result;
    }

    //准备请求
    private SearchRequest buildSearchRequrest(SearchParam param) {
        SearchSourceBuilder sourceBuilder = new SearchSourceBuilder();
        /**
         * 查询：模糊匹配，过滤（按照属性，分类，品牌，价格区间，库存）
         */
        // 1 . 构建bool-query
        BoolQueryBuilder boolQuery = QueryBuilders.boolQuery();

        //must模糊查询
        if(!StringUtils.isEmpty(param.getKeyword())){
            boolQuery.must(QueryBuilders.matchQuery("skuTitle",param.getKeyword()));
        }

        //过滤   bool - filter - 按三级分类id查询
        if((param.getCatalog3Id()) != null){
            boolQuery.filter(QueryBuilders.termQuery("catalogId",param.getCatalog3Id()));
        }

        // bool - filter - 按品牌id查询
        if (param.getBrandId()!=null && param.getBrandId().size()>0){
            boolQuery.filter(QueryBuilders.termsQuery("brandId",param.getBrandId()));
        }

        // 1.2、filter-属性
        if (param.getAttrs() != null && param.getAttrs().size() > 0) {
            // 属性传递过来的格式：attrs=1_安卓:苹果:其他&attrs=2_5.6英寸以上:5.5-5.1英寸
            // 注意：每一个attr都得生成一个完整的nested查询
            for (String attr : param.getAttrs()) {
                BoolQueryBuilder nestedBoolQueryBuilder = QueryBuilders.boolQuery();
                String[] s = attr.split("_");
                String attrId = s[0]; // 检索属性id
                nestedBoolQueryBuilder.must(QueryBuilders.termQuery("attrs.attrId", attrId));
                String[] attrValues = s[1].split(":"); // 检索属性id对应的属性值
                nestedBoolQueryBuilder.must(QueryBuilders.termsQuery("attrs.attrValue", attrValues));
                NestedQueryBuilder nestedQueryBuilder = QueryBuilders.nestedQuery("attrs", nestedBoolQueryBuilder, ScoreMode.None);
                boolQuery.filter(nestedQueryBuilder);
            }
        }

        // bool - filter - 按是否有库存查询

        if(param.getHasStock()!=null){
            boolQuery.filter(QueryBuilders.termQuery("hasStock",param.getHasStock()==1));
        }




        // bool - filter - 按价格区间查询
        if(!StringUtils.isEmpty(param.getSkuPrice())){
            RangeQueryBuilder rangeQuery = QueryBuilders.rangeQuery("skuPrice");
            String[] s = param.getSkuPrice().split("_");
            if (s.length == 2){
                rangeQuery.gte(s[0]).lte(s[1]);
            }else if(s.length == 1){
                if (param.getSkuPrice().startsWith("_")){
                    rangeQuery.lte(s[0]);
                }
                if (param.getSkuPrice().endsWith("_")){
                    rangeQuery.gte(s[0]);
                }
            }
            boolQuery.filter(rangeQuery);
        }
        sourceBuilder.query(boolQuery);
        /**
         * 排序，分页，高亮
         */

        //  排序
        if(!StringUtils.isEmpty(param.getSort())){
            String sort = param.getSort();
            String[] s = sort.split("_");
            SortOrder order = s[1].equalsIgnoreCase("asc")?SortOrder.ASC : SortOrder.DESC;
            sourceBuilder.sort(s[0],order);
        }

        //  分页
        if(param.getPageNum()!=null){
            sourceBuilder.from((param.getPageNum()-1)*EsConstant.PRODUCT_PAGESIZE);
        }

        sourceBuilder.size(EsConstant.PRODUCT_PAGESIZE);

        //  高亮
        if (!StringUtils.isEmpty(param.getKeyword())){
            HighlightBuilder builder = new HighlightBuilder();
            builder.field("skuTitle");
            builder.preTags("<b style='color:red'>");
            builder.postTags("</b>");
            sourceBuilder.highlighter(builder);
        }

        /**
         * 聚合分析
         */
        // 品牌聚合
        TermsAggregationBuilder brand_agg = AggregationBuilders.terms("brand_agg");
        brand_agg.field("brandId").size(50);
        // 品牌子聚合
        brand_agg.subAggregation(AggregationBuilders.terms("brand_name_agg").field("brandName").size(1));
        brand_agg.subAggregation(AggregationBuilders.terms("brand_img_agg").field("brandImg").size(1));
        sourceBuilder.aggregation(brand_agg);
        //  分类聚合
        TermsAggregationBuilder catalog_agg = AggregationBuilders.terms("catalog_agg").field("catalogId").size(20);
        catalog_agg.subAggregation(AggregationBuilders.terms("catalog_name_agg").field("catalogName").size(1));
        sourceBuilder.aggregation(catalog_agg);
        //  属性聚合
        NestedAggregationBuilder attr_agg = AggregationBuilders.nested("attr_agg", "attrs");
        //  聚合当前所有attrId
        TermsAggregationBuilder attr_id_agg = AggregationBuilders.terms("attr_id_agg").field("attrs.attrId");
        //  聚合分析出当前attr_id对应的名字
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_name_agg").field("attrs.attrName").size(1));
        //  聚合分析出当前attr_id对应的所有可能的属性值attrValue
        attr_id_agg.subAggregation(AggregationBuilders.terms("attr_value_agg").field("attrs.attrValue").size(50));

        attr_agg.subAggregation(attr_id_agg);
        sourceBuilder.aggregation(attr_agg);


        String s = sourceBuilder.toString();
        System.out.println("构建的DSL"+s);

        SearchRequest searchRequest = new SearchRequest(new String[]{EsConstant.PRODUCT_INDEX}, sourceBuilder);



        return searchRequest;
    }


    //构建结果数据
    private SearchResult buildSearchResult(SearchResponse response,SearchParam param) {

        SearchResult result = new SearchResult();
        // 1.返回所有查询到的商品
        SearchHits hits = response.getHits();
        List<SkuEsModel> esModels = new ArrayList<>();
        if(hits.getHits()!=null && hits.getHits().length>0){
            for(SearchHit hit : hits.getHits()){
                String sourceAsString = hit.getSourceAsString();
                SkuEsModel esModel = JSON.parseObject(sourceAsString, SkuEsModel.class);
                if(!StringUtils.isEmpty(param.getKeyword())){
                    HighlightField skuTitle = hit.getHighlightFields().get("skuTitle");
                    String string = skuTitle.getFragments()[0].string();
                    esModel.setSkuTitle(string);
                }
                esModels.add(esModel);
            }
        }
        result.setProducts(esModels);
        //2.当前商品涉及的所有属性信息
        List<SearchResult.AttrVo> attrVos = new ArrayList<>();
        ParsedNested attr_agg = response.getAggregations().get("attr_agg");
        ParsedLongTerms attr_id_agg = attr_agg.getAggregations().get("attr_id_agg");
        for (Terms.Bucket bucket : attr_id_agg.getBuckets()) {
            SearchResult.AttrVo attrVo = new SearchResult.AttrVo();
            // 1.得到属性的id
            long attrId = bucket.getKeyAsNumber().longValue();
            // 2.得到属性的名字
            String attrName = ((ParsedStringTerms) bucket.getAggregations().get("attr_name_agg")).getBuckets().get(0).getKeyAsString();
            // 3.得到属性的所有值
            List<String> attrValues = ((ParsedStringTerms) bucket.getAggregations().get("attr_value_agg")).getBuckets().stream().map(item -> {
                String keyAsString = ((Terms.Bucket) item).getKeyAsString();

                return keyAsString;
            }).collect(Collectors.toList());
            attrVo.setAttrId(attrId);
            attrVo.setAttrName(attrName);
            attrVo.setAttrValue(attrValues);
            attrVos.add(attrVo);

        }

        result.setAttrs(attrVos);
        //3、当前商品涉及的所有品牌信息
        List<SearchResult.BrandVo> brandVos = new ArrayList<>();
        ParsedLongTerms brand_agg = response.getAggregations().get("brand_agg");
        for (Terms.Bucket bucket : brand_agg.getBuckets()) {
            SearchResult.BrandVo brandVo = new SearchResult.BrandVo();
            //1.得到品牌Id
            long brandId = bucket.getKeyAsNumber().longValue();
            //2.得到品牌名字
            String brandName = ((ParsedStringTerms) bucket.getAggregations().get("brand_name_agg")).getBuckets().get(0).getKeyAsString();
            //3.得到品牌图片
            String brandImg = ((ParsedStringTerms) bucket.getAggregations().get("brand_img_agg")).getBuckets().get(0).getKeyAsString();
            brandVo.setBrandId(brandId);
            brandVo.setBrandName(brandName);
            brandVo.setBrandImg(brandImg);
            brandVos.add(brandVo);
        }
        result.setBrands(brandVos);

        // 4.当前所有商品涉及的所有分类信息
        ParsedLongTerms catalog_agg = response.getAggregations().get("catalog_agg");
        List<SearchResult.CatalogVo> catalogVos = new ArrayList<>();
        List<? extends Terms.Bucket> buckets = catalog_agg.getBuckets();
        for (Terms.Bucket bucket : buckets){
            SearchResult.CatalogVo catalogVo = new SearchResult.CatalogVo();
            String keyAsString = bucket.getKeyAsString();
            catalogVo.setCatalogId(Long.parseLong(keyAsString));
            //得到分类名
            ParsedStringTerms catalog_name_agg = bucket.getAggregations().get("catalog_name_agg");
            String catalog_name = catalog_name_agg.getBuckets().get(0).getKeyAsString();
            catalogVo.setCatalogName(catalog_name);
            catalogVos.add(catalogVo);
        }
        result.setCatalogs(catalogVos);
        //  5.分页信息-页码
        result.setPageNum(param.getPageNum());

        //  5.分页信息-总记录数
        long total = hits.getTotalHits().value;
        result.setTotal(total);
        //  5.分页信息-总页码—计算
        int totalPages = (int)total%EsConstant.PRODUCT_PAGESIZE == 0?(int)total/EsConstant.PRODUCT_PAGESIZE : ((int)total/EsConstant.PRODUCT_PAGESIZE+1);
        result.setTotalPages(totalPages);
        ArrayList<Integer> pageNavs = new ArrayList<>();
        for (int i=1;i<=totalPages;i++){
            pageNavs.add(i);
        }
        result.setPageNavs(pageNavs);

        //  构建面包屑导航数据
        if(param.getAttrs()!=null && param.getAttrs().size()>0) {
            List<SearchResult.NavVo> collect = param.getAttrs().stream().map(attr -> {
                SearchResult.NavVo navVo = new SearchResult.NavVo();
                String[] s = attr.split("_");
                navVo.setNavValue(s[1]);
                R r = productFeignService.attrInfo(Long.parseLong(s[0]));
                if (r.getCode() == 0) {
                    AttrResponseVo data = r.getData("attr", new TypeReference<AttrResponseVo>() {
                    });

                    navVo.setNavName(data.getAttrName());
                } else {
                    navVo.setNavName(s[0]);
                }

                try {
                    String encode = URLEncoder.encode(attr, "UTF-8");
                } catch (UnsupportedEncodingException e) {
                    e.printStackTrace();
                }
                String replace = param.get_queryString().replace("&attrs=" + attr, "");
                navVo.setLink("http://search.yueqianshop.com/list.html?" + replace);
                return navVo;
            }).collect(Collectors.toList());

            result.setNavs(collect);
        }


        return result;
    }

}
